Evidence map›Paper›PMID 32341652›Full record

ArticleEnvironmental health insights2020

Determinants of Sanitation and Hygiene Status Among Food Establishments in Addis Ababa, Ethiopia.

Aderajew Mekonnen Girmay, Sirak Robele Gari, Bezatu Mengistie Alemu, Martin R Evans, Azage Gebreyohannes Gebremariam

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Article in Environmental health insights, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Aderajew Mekonnen GirmayEthiopian Institute of Water Resources (EIWR), Addis Ababa University, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-7911-4152
Sirak Robele GariEthiopian Institute of Water Resources (EIWR), Addis Ababa University, Addis Ababa, Ethiopia.
Bezatu Mengistie AlemuCollege of Health and Medical Sciences, Haramaya University, Haramaya, Ethiopia.
Martin R EvansMicrobiology Consultant and Laboratory Director, New York, NY, USA.
Azage Gebreyohannes GebremariamEthiopian Institute of Water Resources (EIWR), Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite advancements in food science and technology, foodborne disease remains one of the major public health problems. Poor sanitation and hygiene conditions of food establishments are the major causes for the occurrence of foodborne disease. Therefore, this study aimed to investigate core determinants of sanitation and hygiene status among food establishments.

methodsInstitution-based cross-sectional study design was conducted in Addis Ababa city. A stratified random sampling technique was deployed to select 413 study participants. Data were collected through interview and using observational checklist. Sample size was determined by using a single population proportion formula. To analyze the data, binary logistic regression and multivariable logistic regression analysis was conducted. In all analysis,

resultsThe study revealed that 57.4% of the food establishments were under poor sanitation status. In the multivariable analysis, presence of trained managers on hygiene and sanitation (adjusted odds ratio [AOR] = 6.10 with 95% confidence interval [CI]: 2.41-15.45), presence of renewed licenses (AOR = 3.07 with 95% CI: 1.18-7.99), absence of bureaucratic function to obtain permission to renew the food establishment buildings (AOR = 2.43 with 95% CI: 1.25-4.70), and presence of at least 10-m distance between toilet and kitchen (AOR = 9.19, at 95% CI: 5.63-15.02) were associated significantly with sanitation and hygiene status.

conclusionsAbove average of the food establishments were found to be in poor sanitation and hygiene state. Many core determinant factors that influence sanitation and hygienic status of food establishments were identified. The researchers suggest that formal training on sanitation and hygiene for managers of food establishments should be provided to reduce the occurrence of foodborne diseases. Moreover, strong food and water safety policy and strategy should be promulgated to improve sanitation and hygiene status of food establishments.

Indexed as

Addis Ababadeterminant factorfood establishmenthygieneSanitation

Identifiers

PMID32341652
PMCPMC7171998

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.